Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "320"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 320 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 31 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 320, Node N03:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460014 dish_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.822800 2.420441 1.664158 0.812240 0.436072 -0.582139 -1.706598 2.120480 0.4523 0.4705 0.3513 nan nan
2460013 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.899645 1.473118 2.177057 1.207512 1.068695 0.542791 -1.816909 1.053432 0.4612 0.4744 0.3551 nan nan
2460012 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.609952 1.412426 2.031900 1.066886 1.381321 0.505980 -2.579101 0.407685 0.4604 0.4709 0.3514 nan nan
2460011 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.017159 1.575167 2.974086 1.557714 2.873765 1.926422 -1.095561 0.634678 0.4652 0.4770 0.3563 nan nan
2460010 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.647290 1.532213 2.914092 1.357422 2.690614 0.729024 -1.076098 0.389286 0.4769 0.4897 0.3646 nan nan
2460009 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.283949 1.592673 2.768713 1.215396 1.939900 0.909821 -1.494178 0.326521 0.4795 0.4963 0.3694 nan nan
2460008 dish_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.752548 1.248696 3.185663 1.417909 1.755655 0.730441 0.758081 0.071478 0.4911 0.5053 0.3533 nan nan
2460007 dish_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.532055 1.088114 2.280317 0.850327 1.135362 0.319133 -0.780451 0.514864 0.4847 0.4999 0.3603 nan nan
2459999 dish_maintenance 0.00% 99.92% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.1335 0.1425 0.0691 nan nan
2459998 dish_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.448868 1.426241 2.098370 0.961747 0.831663 0.265320 -2.176481 1.157243 0.4937 0.5126 0.3863 nan nan
2459997 dish_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.895224 1.526559 2.443322 1.072473 1.531381 0.274406 -2.438797 0.629797 0.5063 0.5272 0.3881 nan nan
2459996 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 15.802372 14.744538 8.961146 9.249745 7.333196 9.340460 0.935888 2.311901 0.0598 0.0511 0.0077 nan nan
2459995 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459994 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 15.118485 14.118389 6.903186 7.411040 7.800207 9.587453 0.455301 1.693101 0.0560 0.0474 0.0073 nan nan
2459993 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 16.495053 13.560090 6.250169 6.688497 10.221949 10.966950 0.942482 2.975174 0.0466 0.0394 0.0079 nan nan
2459991 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 17.636207 16.307133 6.707690 7.163225 9.225773 10.829844 0.408596 1.702041 0.0546 0.0469 0.0071 nan nan
2459990 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 14.205774 13.448271 6.528400 6.887287 9.138601 11.124841 0.861690 2.245913 0.0572 0.0497 0.0068 nan nan
2459989 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 14.022487 13.556567 5.799406 6.371167 8.113397 9.379665 2.004067 2.997569 0.0524 0.0448 0.0066 nan nan
2459988 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 16.840154 15.964632 6.715542 7.043272 10.825797 13.287322 0.353965 1.531053 0.0517 0.0438 0.0067 nan nan
2459987 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 14.126487 13.449537 6.601176 7.103889 6.443568 8.028753 3.196983 5.575754 0.0563 0.0492 0.0067 nan nan
2459986 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 17.477515 16.488439 7.234012 7.615338 9.433162 11.319436 5.736590 10.495550 0.0556 0.0479 0.0061 nan nan
2459985 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 16.286757 15.070397 6.731964 7.144193 7.264903 8.653383 1.779321 3.695431 0.0551 0.0471 0.0064 nan nan
2459984 dish_maintenance 100.00% 99.51% 100.00% 0.00% - - 15.576137 14.507321 7.064502 7.477574 9.475072 12.177867 3.397445 4.658011 0.0596 0.0513 0.0072 nan nan
2459983 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 14.981718 14.040799 6.625236 6.905389 9.332391 11.230663 3.093139 6.914089 0.0565 0.0487 0.0063 nan nan
2459982 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.794932 10.462502 5.743599 6.033082 4.594707 5.335845 2.374602 3.179225 0.0543 0.0468 0.0057 nan nan
2459981 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 13.780707 12.825088 6.951891 7.223622 10.498642 12.434867 0.958077 2.459304 0.0567 0.0493 0.0066 nan nan
2459980 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 13.739648 12.655861 6.259675 6.683404 9.095373 10.878831 5.112417 5.506541 0.0555 0.0471 0.0068 nan nan
2459979 dish_maintenance 100.00% 100.00% 100.00% 0.00% - - 13.975540 12.920347 5.690525 6.159135 9.015486 10.190139 1.262896 2.683869 0.0530 0.0450 0.0064 nan nan
2459978 dish_maintenance 100.00% 0.00% 100.00% 0.00% - - 6.116578 13.164874 2.344546 6.629575 0.972821 11.030456 29.734993 2.082511 0.4284 0.0423 0.3450 nan nan
2459977 dish_maintenance 100.00% 0.00% 100.00% 0.00% - - 5.827894 13.996053 2.281844 6.688233 2.263918 11.384959 35.609301 2.073208 0.3977 0.0494 0.3077 nan nan
2459976 dish_maintenance 100.00% 0.00% 100.00% 0.00% - - 6.183591 13.392041 2.446267 6.846842 0.945524 10.908377 28.269110 2.019730 0.4333 0.0442 0.3482 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 320: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.822800 3.822800 2.420441 1.664158 0.812240 0.436072 -0.582139 -1.706598 2.120480

Antenna 320: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.899645 3.899645 1.473118 2.177057 1.207512 1.068695 0.542791 -1.816909 1.053432

Antenna 320: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.609952 3.609952 1.412426 2.031900 1.066886 1.381321 0.505980 -2.579101 0.407685

Antenna 320: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 4.017159 4.017159 1.575167 2.974086 1.557714 2.873765 1.926422 -1.095561 0.634678

Antenna 320: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 4.647290 4.647290 1.532213 2.914092 1.357422 2.690614 0.729024 -1.076098 0.389286

Antenna 320: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 4.283949 4.283949 1.592673 2.768713 1.215396 1.939900 0.909821 -1.494178 0.326521

Antenna 320: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 4.752548 1.248696 4.752548 1.417909 3.185663 0.730441 1.755655 0.071478 0.758081

Antenna 320: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.532055 3.532055 1.088114 2.280317 0.850327 1.135362 0.319133 -0.780451 0.514864

Antenna 320: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 320: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.448868 3.448868 1.426241 2.098370 0.961747 0.831663 0.265320 -2.176481 1.157243

Antenna 320: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 3.895224 3.895224 1.526559 2.443322 1.072473 1.531381 0.274406 -2.438797 0.629797

Antenna 320: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 15.802372 15.802372 14.744538 8.961146 9.249745 7.333196 9.340460 0.935888 2.311901

Antenna 320: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 320: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 15.118485 15.118485 14.118389 6.903186 7.411040 7.800207 9.587453 0.455301 1.693101

Antenna 320: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 16.495053 16.495053 13.560090 6.250169 6.688497 10.221949 10.966950 0.942482 2.975174

Antenna 320: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 17.636207 17.636207 16.307133 6.707690 7.163225 9.225773 10.829844 0.408596 1.702041

Antenna 320: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 14.205774 13.448271 14.205774 6.887287 6.528400 11.124841 9.138601 2.245913 0.861690

Antenna 320: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 14.022487 13.556567 14.022487 6.371167 5.799406 9.379665 8.113397 2.997569 2.004067

Antenna 320: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 16.840154 15.964632 16.840154 7.043272 6.715542 13.287322 10.825797 1.531053 0.353965

Antenna 320: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 14.126487 14.126487 13.449537 6.601176 7.103889 6.443568 8.028753 3.196983 5.575754

Antenna 320: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 17.477515 16.488439 17.477515 7.615338 7.234012 11.319436 9.433162 10.495550 5.736590

Antenna 320: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 16.286757 15.070397 16.286757 7.144193 6.731964 8.653383 7.264903 3.695431 1.779321

Antenna 320: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 15.576137 15.576137 14.507321 7.064502 7.477574 9.475072 12.177867 3.397445 4.658011

Antenna 320: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 14.981718 14.981718 14.040799 6.625236 6.905389 9.332391 11.230663 3.093139 6.914089

Antenna 320: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 10.794932 10.794932 10.462502 5.743599 6.033082 4.594707 5.335845 2.374602 3.179225

Antenna 320: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 13.780707 12.825088 13.780707 7.223622 6.951891 12.434867 10.498642 2.459304 0.958077

Antenna 320: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 13.739648 12.655861 13.739648 6.683404 6.259675 10.878831 9.095373 5.506541 5.112417

Antenna 320: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Shape 13.975540 13.975540 12.920347 5.690525 6.159135 9.015486 10.190139 1.262896 2.683869

Antenna 320: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Temporal Discontinuties 29.734993 13.164874 6.116578 6.629575 2.344546 11.030456 0.972821 2.082511 29.734993

Antenna 320: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Temporal Discontinuties 35.609301 5.827894 13.996053 2.281844 6.688233 2.263918 11.384959 35.609301 2.073208

Antenna 320: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
320 N03 dish_maintenance ee Temporal Discontinuties 28.269110 13.392041 6.183591 6.846842 2.446267 10.908377 0.945524 2.019730 28.269110
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